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Determining the factors that affect the uses of Mobile Cloud Learning (MCL) platform Blackboard- a modification of the UTAUT model

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Abstract

The aim of this study was to unveil the factors that affect the use of Mobile Cloud Learning (MCL) platform Blackboard. Considering the nature of MCL, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was applied and modified with two additional variables, i.e. mobility and self-management learning to understand the use behaviour of the users. A survey was conducted through a structured questionnaire to collect quantitative data for analysis. Structural equation modelling (SEM) was used to analyse the data and test the hypotheses of this study. In outcome, performance expectancy, effort expectancy and self-management learning are found as significant factors. Blackboard platform provider and users’ can be benefited through the outcome of this study by looking at the significant factors and understanding the use behaviour of the users.

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Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

MCL:

Mobile Cloud Learning

UTAUT:

Unified Theory of Acceptance and Use of Technology

SEM:

Structural Equation Modelling

PE:

Performance Expectancy

EE:

effort expectancy

SI:

Social Influence

FC:

Facilitating Condition

SML:

Self-Management Learning

Mob:

Mobility

BI:

Behavioural Intention

UB:

Use Behaviour

EFA:

Exploratory Factor Analysis

CFA:

Confirmatory Factor Analysis

CV:

Convergent Validity

CR:

Composite reliability

AVE:

Average Variance Extracted

SPSS:

Statistical Package for the Social Sciences

VLE:

Virtual Learning Environment

LMS:

Learning Management System

CMS:

Course Management System

PLE:

Personal Learning Environment

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Sultana, J. Determining the factors that affect the uses of Mobile Cloud Learning (MCL) platform Blackboard- a modification of the UTAUT model. Educ Inf Technol 25, 223–238 (2020). https://doi.org/10.1007/s10639-019-09969-1

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